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ailibri — каталог ИИ-сервисов

get_ai_tool

Полная карточка сервиса: что делает, доступ из России, цена, ограничения, модели, пошаговая инструкция, оценка читателей и похожие сервисы.

name_or_url: название сервиса, его алиас или ссылка на карточку ailibri.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
name_or_urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the burden. It discloses a good deal about the returned payload (price, Russia access, limitations, ratings, similar services), which is useful behavioral context, but says nothing about permissions, rate limits, or behavior on an unresolved/invalid identifier.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One compact sentence enumerating the card contents, followed by the parameter explanation. It is front-loaded and contains no filler, though the comma-separated feature list is dense.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description usefully summarizes the return contents and documents the only parameter, which is a reasonable minimum for a single-argument lookup. It is still missing when-to-use guidance and error/fallback behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the schema gives the single parameter no description, so the description must compensate. It does add real meaning by stating the parameter accepts a name, an alias, or a link to an ailibri card, but gives no format examples or guidance on ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource (retrieve the full card of an AI service) and enumerates the card's contents, so the agent knows roughly what comes back. It does not explicitly say how it differs from search_ai_tools or find_alternatives, though the detail-view framing is implicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool versus siblings like search_ai_tools (discovery) or find_alternatives (comparison). Usage is only inferable from the fact that it takes a single identified service.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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